In a world where food security and sustainability are more important than ever, an alarming trend is emerging within modern food systems. Truckloads of perfectly edible food are being wasted, not ...

Class-constrained classification problems arise in scenarios where predictions must satisfy resource limitations. For example, classifying loan applicants to decide who receives funding within a ...

The purpose of the Text-to-SQL task is to bridge the gap between natural language and SQL queries. Current approaches mainly rely on large language models (LLMs), but employing them for Text-to-SQL ...

As Large Language Models (LLMs) expand their context windows to process massive documents and intricate conversations, they encounter a brutal hardware reality known as the "Key-Value (KV) cache ...

Abstract: With the advent of the Big Data era, it is usually computationally expensive to calculate the resource usages of a SQL query with traditional DBMS approaches. Can we estimate the cost of ...

Modern economic history has largely been dominated by the puzzle of human capital. How do growing populations continuously raise skill levels as part of a cycle of rising productivity and living ...

Prices are changing faster — and more erratically — than ever before. ILSR convened leading experts for a virtual event to unpack a key driver of this issue plaguing the US economy: pricing algorithms ...

Cutting marketing to “save money” is one of the most common self-inflicted wounds in business. It’s the managerial equivalent of shutting down the assembly line because parts costs went up. Here’s the ...

A new bio-inspired optimization algorithm modeled on the human circulatory system significantly reduces operational costs and improves stability in renewable energy grids by outperforming existing ...

AI hardware needs to become more brain-like to meet the growing energy demands of real-world applications, according to researchers. In a study published in Frontiers in Science, scientists from ...